15 results about "New diagnosis" patented technology

The invention provides a spinal health monitoring method and system combining remote sensing three-dimensional modeling and AI pre-diagnosis. The method comprises the following steps: (1) constructing a rapid three-dimensional reconstruction module based on flow diffusion: realizing high-fidelity three-dimensional modeling by adopting a lightweight shape generation and intelligent texture mapping technology; (2) intelligent grading evaluation of scoliosis driven by a large model: based on a large-scale spine feature data set, constructing a deep learning network for automatic measurement and typing prediction of spine parameters, and deeply fusing the deep learning network with a semantic understanding module of an AI intelligent question-answering system; and (3) doctor-worker collaborative diagnosis and feedback optimization: doctors can view the user model and the AI evaluation report and make new diagnosis, meanwhile, the system utilizes natural language processing to extract doctor diagnosis keywords, and the model is continuously optimized based on parameter transfer learning. According to the invention, the whole-process Web deployment of spine detection is realized, a medical vertical domain large model for spine detection is developed, and the extensible technical framework has huge application potential in the field of intelligent medical treatment.

The application relates to the fields of medical diagnosis and gene drugs, and particularly relates to application of long-chain non-coding RNA in preparation of a heart insufficiency diagnosis reagent or kit. The application also provides application of the long-chain non-coding RNA in preparation of a heart insufficiency treatment drug. The application first finds that LOC107984012 is long-chain non-coding RNA which is highly expressed in a failing heart, and provides a new diagnosis marker and treatment target for heart insufficiency.

The invention discloses an electrical design and debugging integrated intelligent platform and an implementation method. Comprising the steps of setting a data model of electrical design debugging; the method comprises the following steps: mapping design data generated based on an electrical logic diagram before debugging to obtain initial debugging data; the simulation model and the physical equipment are connected, a semi-physical simulation environment is constructed, variables of the simulation model and physical signals of the physical equipment are fused during debugging, and debugging data are obtained and updated; performing inverse mapping on the updated debugging data to obtain updated design data, and obtaining an updated electrical logic diagram based on the updated data; and based on the diagnosis knowledge in the data model library, an intelligent diagnosis module is adopted to diagnose the debugging data updated during debugging to obtain new diagnosis data. Design and debugging integration of electrical development is realized, and the intelligent level of fault diagnosis is improved.

The invention belongs to the field of circuit protection, and provides an overcurrent protection monitoring method and system for a frequency converter. The method comprises the following steps: continuously acquiring current time sequence data of three-phase current of each frequency converter in a workstation, sampling to form an original data set, and standardizing the original data set; fault segmentation is carried out on the standardized original data set, so that abnormal data and normal data in the original data set are separated; converting an original data set representing abnormal data from a time domain to a frequency domain based on discrete Fourier transform to obtain a new diagnosis data set; based on a principal component analysis technology, features in the diagnosis data set are extracted and dimensionally reduced to obtain a feature set, the square prediction error of each feature in the feature set is calculated, the total contribution degree of the features is obtained according to the influence of the square prediction error on other features, and whether a detected object fails or not is determined; therefore, the problem that in the prior art, irregular overcurrent faults which do not reach the threshold value are difficult to diagnose can be solved.

The application discloses a kind of based on HAPLN1 down-regulation induced preeclampsia animal model construction method and application of placental cell abnormal aging, belong to the field of biological medicine technology.The application can stably induce the animal model with typical preeclampsia clinical characteristics by reducing the expression level of HAPLN1 in pregnant mice, while reproducing the abnormal phenotype of placental cell aging.The method has strong controllability in operation process, and the model has good reproducibility, which can provide effective experimental tools for in-depth study of the pathogenesis of preeclampsia and development of new diagnosis and treatment strategies.

The invention belongs to the technical field of biomedicine, and particularly relates to application of a BIRC5 gene in prediction of drug resistance in bladder cancer immunotherapy and in depletion of immune subtypes. The invention is achieved by detecting the expression level of the BIRC5 gene in a tumor sample from a bladder cancer patient, where high expression of BIRC5 indicates that the patient belongs to the depleted immune subtype and predicts drug resistance to immune checkpoint blocking (ICB) treatment. In addition, the invention also discloses an application of the BIRC5 gene as a target spot in screening drugs for reversing tumor immunosuppression microenvironment in bladder cancer or overcoming immunotherapy drug resistance. The invention provides a new biomarker and a therapeutic target for a new depletion immune subtype of bladder cancer, and provides a new diagnosis and treatment strategy for immunotherapy of drug-resistant bladder cancer patients.

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and / or the like for generating a historically dynamic explanation data object for a dental image data object. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform generating a historically dynamic explanation data object for a dental image data object using an encoder-decoder architecture, where the encoder machine learning framework of the encoder-decoder architecture comprises a current diagnosis identification machine learning model, a historical diagnosis identification machine learning model, a convolutional embedding machine learning model, a new diagnosis code inference machine learning model, and a feature vector combination machine learning model.

The invention discloses an oligosaccharide chain fingerprint spectrum prediction model for identifying staphylococcus epidermidis infection and a construction method and application thereof, and belongs to the technical field of molecular biomedicine. The invention discovers that active infection of staphylococcus epidermidis can cause glycoprotein in host serum to generate a characteristic oligosaccharide chain fingerprint spectrum for the first time, and the spectrum can be used as a specific biomarker. Based on the discovery, the invention provides a construction method of a prediction model, which comprises the following steps: acquiring oligosaccharide chain atlas data of a serum sample, training by utilizing a machine learning algorithm, constructing a classifier capable of outputting an infection state prediction value, and determining a judgment threshold for distinguishing infection and negative. By applying the model, the active infection of the staphylococcus epidermidis can be quickly and accurately identified, and sample pollution can be effectively distinguished. The invention provides a brand new diagnosis solution for clinical application, and has important clinical application value.

The application discloses an oncogene VGLL1 and application of a protein coded by the oncogene VGLL1, and particularly discloses application of a VGLL1 gene and / or a coded protein thereof in preparation of a medicine for treating cancer, and application of the VGLL1 gene and / or the coded protein thereof in preparation of a reagent or a kit for cancer diagnosis and / or prognosis judgment. It is found in the application that the oncogene VGLL1 has an important role in the occurrence and development process of tumors, and high expression of VGLL1 can induce malignant progression such as invasion and metastasis of ovarian cancer. It is also found in the research result that conditionally down-regulating VGLL1 can effectively relieve the growth of ovarian cancer cells and inhibit the invasion and metastasis ability of the ovarian cancer cells. The application provides a new diagnosis and treatment idea and a drug screening platform for solving clinical problems such as metastasis of ovarian cancer.

The invention discloses application of leucine aminopeptidase in preparation of a product for diagnosing atherosclerosis or evaluating atherosclerotic plaque vulnerability, and discloses direct association between LAP and AS plaque vulnerability and application of LAP as a cardiovascular and cerebrovascular disease diagnosis biomarker for the first time. The invention relates to application of the LAP activity in preparation of a product for diagnosing AS or evaluating AS plaque vulnerability, further provides a first method for in-vivo, real-time and dynamic visual imaging of the LAP activity in a living body AS plaque, in addition, the feasibility of diagnosing AS based on the LAP activity is verified in various human source clinical samples for the first time, the perfect distinction degree is achieved, and finally, the application of the LAP activity in preparation of a product for diagnosing AS or evaluating AS plaque vulnerability is achieved. A complete evidence chain is formed through multi-modal means such as in-vivo imaging, in-vitro imaging and histopathology; the method has the advantages that a brand new diagnosis and research direction is opened up for AS diagnosis or AS plaque vulnerability evaluation, the LAP activity in the AS plaque can be specifically identified and imaged and displayed in a living body environment, and a more accurate and timely disease monitoring means is provided.

The invention provides application of a novel biomarker sKLB of sepsis intestinal mucous barrier damage in detection, diagnosis and treatment of sepsis. Clinical sample exploration proves that the sKLB has good correlation with sepsis in people, so that a new diagnosis and treatment marker is provided for clinical diagnosis and treatment of sepsis, and the application has important clinical significance.

The invention belongs to the technical field of diabetes diagnosis, and particularly relates to application of a reagent for detecting intestinal microorganisms and excrement metabolites in preparation of a preparation for diagnosing diabetes and a kit. Key biomarkers including key differential intestinal microorganisms and key differential fecal metabolites are screened through metagenomics and metabonomics, and the clinical value of the key biomarkers lies in that a multi-omics classifier for distinguishing adult illness T1D from healthy people (HC) and T2D is finally determined. The kit is helpful for accurate diagnosis and typing of adult onset T1D and provides a brand new diagnosis and treatment target for the adult onset T1D.

The invention relates to the technical field of biological medicines, in particular to application of MiR-30e-5p in diagnosis and treatment of pulmonary arterial hypertension of broilers. A chick embryo hypoxia model and a PASMCs hypoxia model are constructed, the effects of miR-30e-5p on proliferation, migration and phenotypic transformation of PASMCs are systematically researched, and the result shows that the expression of miR-30e-5p can be up-regulated by hypoxia, the proliferation, migration activity and phenotypic transformation capacity of hypoxia-induced PASMCs can be remarkably reduced by knocking down miR-30e-5p in vivo and in vitro, pulmonary artery remodeling is inhibited, and the hypoxia-induced PASMCs can be used for treating pulmonary artery remodeling. A new diagnosis and treatment target is provided for effectively preventing and treating the pulmonary hypertension of the broilers, and a new thought is provided for diagnosis and treatment target screening and drug research and development of the pulmonary hypertension of the broilers.

The invention belongs to the technical field of diabetes diagnosis, and particularly relates to application of a reagent for detecting excrement metabolites in preparation of a preparation for diagnosing diabetes and a kit. Key biomarkers including key differential intestinal microorganisms and key differential fecal metabolites are screened through metagenomics and metabonomics, and the clinical value of the key biomarkers lies in that a multi-omics classifier for distinguishing adult illness T1D from healthy people (HC) and T2D is finally determined. The kit is helpful for accurate diagnosis and typing of adult onset T1D and provides a brand new diagnosis and treatment target for the adult onset T1D.

The application discloses an incremental meta-learning online fault diagnosis method for industrial streaming data, and comprises the following steps: S1: collecting vibration signals of different fault modes under different working conditions through a sensor, and dividing a plurality of diagnosis stage data sets; S2: building and training an initial fault diagnosis model; S3: introducing a Herding algorithm to select a small batch of representative samples from an old task training data set and store the samples in a data cache module; S4: jointly and randomly sampling a multi-task training set from the data cache module and a new stage training data set, and updating parameters of each sub-task model through meta-training; and S5: updating general model parameters through a dynamic balance meta-updating strategy. The method can mine general diagnosis knowledge among tasks of different stages, and through the design of a dynamic meta-updating strategy, learning of new knowledge and memory of old knowledge of the model can be balanced, so that the model can be quickly generalized to new diagnosis tasks, new fault data and new fault modes.